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Merge pull request #1349 from ogabrielluiz/master

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Just some typos
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Thomas Wolf 2019-09-27 13:08:00 +02:00 committed by GitHub
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@ -93,8 +93,8 @@ Let's see how we can use `BertModel` to encode our inputs in hidden-states:
# Load pre-trained model (weights)
model = BertModel.from_pretrained('bert-base-uncased')
# Set the model in evaluation mode to desactivate the DropOut modules
# This is IMPORTANT to have reproductible results during evaluation!
# Set the model in evaluation mode to deactivate the DropOut modules
# This is IMPORTANT to have reproducible results during evaluation!
model.eval()
# If you have a GPU, put everything on cuda
@ -168,8 +168,8 @@ Let's see how to use `GPT2LMHeadModel` to generate the next token following our
# Load pre-trained model (weights)
model = GPT2LMHeadModel.from_pretrained('gpt2')
# Set the model in evaluation mode to desactivate the DropOut modules
# This is IMPORTANT to have reproductible results during evaluation!
# Set the model in evaluation mode to deactivate the DropOut modules
# This is IMPORTANT to have reproducible results during evaluation!
model.eval()
# If you have a GPU, put everything on cuda